"Learning NestJS Framework Knowledge" matching MCP servers:

Enables searching Google's Knowledge Graph for real-world entities via two tools: search by query or lookup by Machine ID, returning structured data including entity types, descriptions, and URLs.

MCP server providing a local learning graph for the Korean vocational high school curriculum (2022 revised), including 8,425 achievement standards, topics, and 10 tools for searching standards, topics, prerequisites, and learning roadmaps.

An MCP server that provides knowledge about Coordinate Reference Systems (CRS).

Read-only MCP tools for authenticated Open Science Framework projects, components, files, and contributors.

MCP standards server that grounds K-12 lesson plans by providing tools to look up standards, progressions, curriculum, misconceptions, and learning components from open educational data.

Enables MCP clients to query the Open Science Framework for public research project metadata, abstracts, and component listings using OSF project IDs or URLs.

Provides real-time weather queries for 12 major Chinese cities (plus global English city support) using the wttr.in API. Built on the HelloAgents framework, it exposes tools to get current weather, list supported cities, and get server info.

An MCP server for interacting with the Open Science Framework (OSF), enabling search for projects, registrations, preprints, and file management.

A wikipedia for ESG body of knowledge

Real-time weather query MCP server supporting 12 Chinese cities (and global cities via English names) using wttr.in API, built on HelloAgents framework.

Provides unified natural language access to 40+ astronomical databases and surveys including DESI, SIMBAD, SDSS, and Gaia, enabling researchers to search, retrieve, and analyze astronomical data without learning complex APIs.

Integrates with the Market.dev API to search for open source experts and projects. It enables users to find contributors and developers based on skills, location, or specific library and framework involvement.

Enables AI assistants to explore, compare, and engage with postsecondary education and training offerings—programs, courses, certifications, credit transfer, prior learning, and career transitions—with sourced, snapshot-dated answers and explicit statements of missing data.

MCP server for LINDAS, the linked-data knowledge graph of the Swiss administration, enabling querying of Swiss public data cubes via guarded SPARQL tools.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.

Enables AI assistants to search, explore, and query any CKAN open data portal through natural language, making public datasets accessible without requiring knowledge of the portal's API.

Enables querying EU-funded research projects and ERC grants from the CORDIS knowledge graph, including full project records and ERC scheme listings, with server-side filtering and attribution.

Provides AI agents access to OpenStreetMap's comprehensive tagging knowledge base, enabling tag queries, preset discovery, and validation of OSM tags for mapping applications.

A money-in-politics knowledge graph, as an MCP server. It links entities across federal campaign donations, lobbying disclosures, and government contracts.

MCP server that exposes skills from the Brazilian National Common Curricular Base (BNCC) with thematic units, knowledge objects, and prioritization layer from Mapa de Foco, enabling lookup, search, listing, and statistics of educational skills.